Abstract: Intelligent robot companions have the potential to improve the quality of human life significantly by changing how we live, work, and play. While recent advances in software and hardware opened a new horizon of robotics, state-of-the-art robots are yet far from being blended into our daily lives due to the lack of human-level scene understanding, motion control, safety, and rich interactions. I envision legged robots as intelligent machines beyond simple walking platforms, which can execute a variety of real-world motor tasks in human environments, such as home arrangements, last-mile delivery, and assistive tasks for disabled people. In this talk, I will discuss relevant multi-disciplinary research topics, including deep reinforcement learning, control algorithms, scalable learning pipelines, and sim-to-real techniques.
Speaker's Bio: Sehoon Ha is currently an assistant professor at the Georgia Institute of Technology. Before joining Georgia Tech, he was a research scientist at Google and Disney Research Pittsburgh. He received his Ph.D. degree in Computer Science from the Georgia Institute of Technology. His research interests lie at the intersection between computer graphics and robotics, including physics-based animation, deep reinforcement learning, and computational robot design. His work has been published at top-tier venues including ACM Transactions on Graphics, IEEE Transactions on Robotics, and International Journal of Robotics Research, nominated as the best conference paper (Top 3) in Robotics: Science and Systems, and featured in the popular media press such as IEEE Spectrum, MIT Technology Review, PBS News Hours, and Wired.
For graduate students: Note that we will be taking attendance so that you can get credit for the graduate seminars course if approved by your department. Please contact the graduate office at your department for further details.
Location: We will meet only virtually. Please use the following zoom meeting information to join us:
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Meeting ID: 846 7722 4909
Looking forward to seeing you on Friday!
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